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Time-varying channel estimation scheme for uplink MU-MIMO in 6G systems
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Wang, Jianhao, Zhang, Wensheng, Chen, Yunfei, Liu, Zhi, Sun, Jian and Wang, Cheng-Xiang (2022) Time-varying channel estimation scheme for uplink MU-MIMO in 6G systems. IEEE Transactions on Vehicular Technology, 71 (11). pp. 11820-11831. doi:10.1109/tvt.2022.3192902 ISSN 1939-9359.
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Official URL: https://doi.org/10.1109/tvt.2022.3192902
Abstract
Channel estimation is a challenging issue for mil- limeter wave (mmWave) and massive multiple-input multiple- output (MIMO) in the future sixth generation (6G) wireless systems, where the conventional estimation schemes may fail to track the fast varying channels, especially in high-speed mobile scenarios. In this paper, a novel tensor-based uplink channel estimation scheme is proposed for multi-user MIMO (MU- MIMO) systems over time-varying channels. In the proposed scheme, a low-overhead pilot transmission scheme is designed to track the varying channel. The received uplink signal at the base station (BS) is formulated as a third-order tensor which admits a CANDECOMP/PARAFAC (CP) model. The CP decomposition is- sue is then solved using blind matrix decomposition, in which the special structures of signals in the time dimension and the matrix subspace are utilized. By exploiting low-rank structure of the sig- nal tensor, the channel parameters (angles of arrival/departure, path gains, and Doppler shifts) are estimated from the factor matrices. Moreover, the proposed scheme is theoretically analyzed and it is guaranteed with low pilot overhead. Simulation results verify that the proposed scheme can outperform the compressed sensing (CS) based scheme and the iteration-based scheme in terms of accuracy and stability. The uniqueness of the proposed scheme is also verified in our simulation.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
| SWORD Depositor: | Library Publications Router | ||||||
| Journal or Publication Title: | IEEE Transactions on Vehicular Technology | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
| ISSN: | 1939-9359 | ||||||
| Official Date: | November 2022 | ||||||
| Dates: |
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| Volume: | 71 | ||||||
| Number: | 11 | ||||||
| Page Range: | pp. 11820-11831 | ||||||
| DOI: | 10.1109/tvt.2022.3192902 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
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